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complex, multi-model ecological forecasting workflow. The fellow will gain valuable experience in advanced model development, calibration, and synthesis of the forest succession, fire severity, and climate
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vegetables. Model bacterial pathogenic levels through complex survival and growth patterns. Utilize either data analysis or molecular analysis tools (or both) to inform strategies to optimize pre-harvest
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is a partner for the Alrek Health Cluster, Årstadveien, Bergen, and is supported by the Trond Mohn Foundation related to Complex Conditions and Ageing (CC.AGE). Read more about the project: https
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detailed analyses, but working closely with Justice Futures and their interest in systems approaches to develop an understanding of the complexity, blockages and opportunities across the various systems
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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object
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degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and
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opportunities. Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Research and Dissemination: Propose, plan, and execute research, knowledge and technology
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. Working closely with the ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets. As
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disease vulnerability, and fuels and fire emissions. They will gain experience with modeling, coding, and database management in support of a complex workflow. The fellow will gain valuable experience in
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the direction of the principal investigator, conducts highly specialized and technical research involving animal models of cardiovascular development. Among the key duties of this position are the following